Identifying changes in individuals' behaviour and mood, as observed via content shared on
online platforms, is increasingly gaining importance. Most research to-date on this topic …

Annotator disagreement is ubiquitous in natural language processing (NLP) tasks. There are
multiple reasons for such disagreements, including the subjectivity of the task, difficult cases …

Affect recognition is currently an active research area for machine learning researchers.
Researchers are paying more and more attention to the assessment and the classification of …

Foodborne illness is a serious but preventable public health problem--with delays in
detecting the associated outbreaks resulting in productivity loss, expensive recalls, public …

Advances in large language models raise the question of how alignment techniques will
adapt as models become increasingly complex and humans will only be able to supervise …

Unsupervised Information Extraction (UIE) refers to the act of automictically extracting
relevant information (which consists of entities, the relations between entities and their …

Abstract Analysis of cyber-physical systems (CPS) has emerged as a critical domain for
providing US Air Force and Space Force leadership decision advantage in air, space, and …

S rostoucím objemem šifrovaného provozu v síti narůstá potřeba korektní identifikace a
monitorování tohoto provozu. Pro řešení toho problému se využívá algoritmů strojového …

S rostoucım objemem šifrovaného provozu v sıti narustá potreba korektnı identifikace a
monitorovánı tohoto provozu. Pro rešenı toho problému se vyuzıvá algoritmu strojového …